القائمة
Multi-LLM deliberation framework for strategic decisions through pressure-based expert consultation
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/RunnerQuan/SAFE-Agent --skill war-roomيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Find doctors with Healthgrades - search providers, read reviews, and check credentials
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks.
基于RFM模型和回归算法的客户生命周期价值(LTV)预测分析工具，支持电商和零售业务的客户价值预测。使用时需要客户交易数据、订单历史或消费记录，自动进行RFM特征工程、回归建模和价值预测。
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | war-room |
| description | Multi-LLM deliberation framework for strategic decisions through pressure-based expert consultation |
| triggers | war room, strategic decision, multi-expert, deliberation, council, convene experts, expert panel |
| use_when | complex decisions requiring multiple perspectives, architectural trade-offs, high-stakes choices |
| do_not_use_when | simple questions, routine tasks, single-path implementations |
| model_preference | claude-opus-4 |
| category | strategic-planning |
| tags | ["deliberation","multi-llm","strategy","decision-making","council"] |
| dependencies | ["conjure:delegation-core","memory-palace:strategeion"] |
| tools | ["Bash","Read","Write"] |
| complexity | advanced |
| estimated_tokens | 2500 |
| progressive_loading | true |
| modules | ["modules/reversibility-assessment.md","modules/expert-roles.md","modules/deliberation-protocol.md","modules/merkle-dag.md"] |
| version | 1.3.7 |
Orchestrate multi-LLM deliberation for complex strategic decisions.
The War Room convenes multiple AI experts to analyze problems from diverse perspectives, challenge assumptions through adversarial review, and synthesize optimal approaches under the guidance of a Supreme Commander.
"The trick is that there is no trick. The power of intelligence stems from our vast diversity, not from any single, perfect principle."
- Marvin Minsky, Society of Mind
Before deliberation, assess the Reversibility Score (RS) to determine appropriate resource allocation:
RS = (Reversal Cost + Time Lock-In + Blast Radius + Information Loss + Reputation Impact) / 25
| RS Range | Type | Mode | Resources |
|---|---|---|---|
| 0.04 - 0.40 | Type 2 | Express | 1 expert, < 2 min |
| 0.41 - 0.60 | Type 1B | Lightweight | 3 experts, 5-10 min |
| 0.61 - 0.80 | Type 1A | Full Council | 7 experts, 15-30 min |
| 0.81 - 1.00 | Type 1A+ | Delphi | 7 experts, 30-60 min |
Quick Heuristics:
See modules/reversibility-assessment.md for full scoring guide.
| Role | Model | Purpose |
|---|---|---|
| Supreme Commander | Claude Opus | Final synthesis, escalation decisions |
| Chief Strategist | Claude Sonnet | Approach generation, trade-off analysis |
| Red Team | Gemini Flash | Adversarial challenge, failure modes |
| Role | Model | Purpose |
|---|---|---|
| Supreme Commander | Claude Opus | Final synthesis |
| Chief Strategist | Claude Sonnet | Approach generation |
| Intelligence Officer | Gemini 2.5 Pro | Large context analysis (1M+) |
| Field Tactician | GLM-4.7 | Implementation feasibility |
| Scout | Qwen Turbo | Quick data gathering |
| Red Team Commander | Gemini Flash | Adversarial challenge |
| Logistics Officer | Qwen Max | Resource estimation |
Round 1: Generation
- Phase 1: Intelligence Gathering (Scout, Intel Officer)
- Phase 2: Situation Assessment (Chief Strategist)
- Phase 3: COA Development (Multiple experts, parallel)
- Commander Escalation Check
Round 2: Pressure Testing
- Phase 4: Red Team Review (all COAs)
- Phase 5: Voting + Narrowing (top 2-3)
- Phase 6: Premortem Analysis (selected COA)
- Phase 7: Supreme Commander Synthesis
For high-stakes decisions, extend to iterative Delphi convergence:
War Room is AUTOMATICALLY INVOKED from Skill(attune:project-brainstorming) after Phase 3 (Approach Generation).
The brainstorm skill passes all context to War Room:
Bypass conditions (only if ALL true):
# Automatic invocation from brainstorm (do not skip)
/attune:war-room --from-brainstorm
# Direct invocation (standalone)
/attune:war-room "Should we use microservices or monolith for this system?"
Sessions persist to the Strategeion (War Palace):
~/.claude/memory-palace/strategeion/
- war-table/ # Active sessions
- campaign-archive/ # Historical decisions
- doctrine/ # Learned patterns
- armory/ # Expert configurations
Experts are invoked via conjure delegation:
conjure:gemini-delegation for Gemini modelsconjure:qwen-delegation for Qwen modelsccgd or claude-glm --dangerously-skip-permissions)/attune:war-room "What architecture should we use for the new payment system?"
/attune:war-room "Best approach for API versioning" --files src/api/**/*.py
Quick assessment without full deliberation:
/attune:war-room "Database migration to MongoDB" --assess-only
Output:
Reversibility Assessment
========================
Decision: Database migration to MongoDB
Dimensions:
Reversal Cost: 5/5 (months of rework)
Time Lock-In: 4/5 (migration path hardens)
Blast Radius: 5/5 (all services affected)
Information Loss: 4/5 (query patterns, ACID)
Reputation Impact: 2/5 (internal unless downtime)
Reversibility Score: 0.80
Decision Type: Type 1A (One-Way Door)
Recommended Mode: Full Council
Proceed with full deliberation? [Y/n]
Skip to rapid decision for clearly reversible choices:
/attune:war-room "Which logging library to use" --express
Override RS assessment for critical decisions:
/attune:war-room "Migration strategy" --full-council
For highest-stakes irreversible decisions:
/attune:war-room "Long-term platform decision" --delphi
/attune:war-room --resume war-room-20260120-153022
The War Room produces a Supreme Commander Decision document:
## SUPREME COMMANDER DECISION: {session_id}
### Reversibility Assessment
| Dimension | Score | Rationale |
|-----------|-------|-----------|
| Reversal Cost | X/5 | ... |
| Time Lock-In | X/5 | ... |
| Blast Radius | X/5 | ... |
| Information Loss | X/5 | ... |
| Reputation Impact | X/5 | ... |
**RS: 0.XX | Type: [1A+/1A/1B/2] | Mode: [delphi/full_council/lightweight/express]**
### Decision
**Selected Approach**: [Name]
### Rationale
[Why this approach was selected]
### Implementation Orders
1. [ ] Immediate actions
2. [ ] Short-term actions
### Watch Points
[From Premortem - what to monitor]
### Reversal Plan (for Type 1 decisions)
[If this decision proves wrong, here's the exit strategy]
### Dissenting Views
[For the record]
Saved to Strategeion:
Expert contributions are anonymized during deliberation using Merkle-DAG:
See modules/merkle-dag.md for details.
Deliberation mode is automatically selected based on Reversibility Score:
| RS Score | Automatic Mode |
|---|---|
| ≤ 0.40 | Express (bypass full War Room) |
| 0.41 - 0.60 | Lightweight panel |
| 0.61 - 0.80 | Full Council |
| > 0.80 | Full Council + Delphi |
The Supreme Commander may override automatic classification when:
Escalation requires written justification with RS assessment.
Equally important: identify decisions being over-deliberated:
{
"war_room": {
"default_mode": "lightweight",
"auto_escalate": true,
"delphi_threshold": 0.85,
"max_delphi_rounds": 5
}
}
War Room can be auto-suggested via hook when:
Skill(attune:project-brainstorming) - Pre-War Room ideationSkill(imbue:scope-guard) - Scope managementSkill(imbue:rigorous-reasoning) - Reasoning methodologySkill(conjure:delegation-core) - Expert dispatch/attune:war-room - Invoke this skill/attune:brainstorm - Pre-War Room ideation/memory-palace:strategeion - Access War Room history